{"id":"W4253517092","doi":"10.1515/iupac.81.0534","title":"Loading","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00160322,0.002468734,0.001518773,0.005009393,0.00127535,0.004177183,0.00304115,0.002269338,0.217513],"category_scores_gemma":[0.01473955,0.0006552128,0.001866978,0.007170691,0.0005606661,0.003916213,0.003507413,0.002223856,0.3034232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982659,"about_ca_system_score_gemma":0.002684469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01532981,"about_ca_topic_score_gemma":0.02791653,"domain_scores_codex":[0.9970205,0.0004436493,0.0003868268,0.001113832,0.0006465404,0.0003885691],"domain_scores_gemma":[0.9945791,0.001256843,0.0004212804,0.001752125,0.00161795,0.0003727948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005094169,0.00001833868,0.001002211,0.0003897415,0.00001744197,0.00001524752,0.00002101443,0.0001418276,0.00006952506,0.000629415,0.9924165,0.005227782],"study_design_scores_gemma":[0.0001018468,0.00001595038,0.00282666,0.000346325,0.00001690957,0.00005814731,0.0001205584,0.0003438112,0.0002926781,0.002374141,0.9934756,0.0000274387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001274619,0.00006407349,0.0001325704,0.000141497,0.00006167473,0.00002780052,0.99712,0.0005329109,0.001792025],"genre_scores_gemma":[0.0003093197,0.00005621838,0.0003671525,0.00009541643,0.00001318989,0.00009530148,0.9976469,0.00009826406,0.001318242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.782487,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006147506895345962,"score_gpt":0.3234316735969585,"score_spread":0.3172841667016125,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}